#!/usr/bin/python3
# -*- coding: utf-8 -*-
'''
采用MitmProxy方式截取app的请求；
mitmdump -s mitmproxy_filter.py

App端采用appium来模拟操作app
'''
import re
import sys
import uuid
import demjson

#utils
sys.path.append("D:\\workspace\\PycharmProjects\\MySpider\\")

from com.utils.logutil import LogUtil


from com.utils import dbutil

__author__ = 'Grant Wu'

import mitmproxy.http
from  mitmproxy import ctx

logger = LogUtil("xiaohongshu", __name__)


class MyAddOn:
    def __init__(self):
        self.num = 0
        self.tagPattern = re.compile(r'{(.*?)}')
        self.db_con = dbutil.connectDB(database='mmd_db', host='192.168.6.76', username='root', password='root')
        self.search_url='https://edith.xiaohongshu.com/api/sns/v10/search/notes'
        self.home_browser_url = 'https://edith.xiaohongshu.com/api/sns/v6/homefeed'

        self.insertSpiderLog = """
        insert into mmd_db.bs_spider_log_v3(`domain`,`domain_name`, `batch_id`,`data_type`,`url`,`headers`,`data_origin`,`created_time`,`updated_time`)
        values('app.xiaohongshu.com','xiaohongshu',%s,'homepage-穿搭',%s,%s,%s,
                           unix_timestamp(now( ) ) * 1000,
                           unix_timestamp( now( ) ) * 1000)
        """
        self.insertNoteSql = '''
        insert into mmd_db.bs_spider_data(`domain`,`domain_name`, `batch_id`,	`data_type`,`note_id`,`note_title`,`note_desc`,`note_image`,`note_type`,`note_user`,`note_tags`,`note_timestamp`,`created_time`,`updated_time`)
	values ('app.xiaohongshu.com','xiaohongshu',%s,'homepage-穿搭',%s,%s,%s,%s,%s,%s,%s,%s,
                           unix_timestamp(now( ) ) * 1000,
                           unix_timestamp( now( ) ) * 1000)
        '''

        self.query_old_data_sql='''
        select note_id from mmd_db.bs_spider_data where note_id in ('{0}')
        '''
        self.batch_id = str(uuid.uuid4())

    def request(self,flow:mitmproxy.http.HTTPFlow):
        self.num +=1
        url= flow.request.url
        print('======>', url)
        # headers = flow.request.headers
        # for (k,v) in headers:
        #     print('======>' + k +' = '+v)
        # ctx.log.info(demjson.encode(headers))

    def response(self, flow: mitmproxy.http.HTTPFlow):
        '''
        处理代理返回的response
        :param flow:
        :return:
        '''

        url = flow.request.url
        headers = flow.request.headers


        try:
            response = flow.response
            response_header = response.headers
            content_type = response_header['Content-Type']
            if 'image' in content_type:
                print('这里返回的是图片')
            elif 'application/json' in content_type:
                print('======>url:', url)
                logger.info('======>url:{}, ===>content_type{},====>code:{}', url,content_type,response.status_code)
                logger.info('======>data:{}',response.text)
                if (response.status_code == 200):
                    if self.search_url in url:
                        jsonData = self.saveSearchLog(url, headers, response.text)
                        datas = self.saveSearchDatas(jsonData)
                    if self.home_browser_url in url:
                        jsonData = self.saveBrowserLog(url, headers, response.text)
                        datas = self.saveBrowserDatas(jsonData)
                # print('res_data-------------------->', response.text)
            else:
                print('格式非预期')
        except Exception as err:
            logger.error("拉取数据error， url: {} 错误描述:{}", url,err)
            print('======>error',err)
            # raise Exception


    def error(self, flow: mitmproxy.http.HTTPFlow):
        ctx.log.error(flow.error.msg)


    def saveSearchLog(self, url, headers, json_data):
        '''
        保存访问记录
        :param url:
        :param headers:
        :param json_data:
        :return:
        '''
        if not json_data:
            return None
        parent_data = demjson.decode(json_data, 'utf_8')
        if not parent_data["data"] or not parent_data["data"]["items"]:
            logger.warn("======>the data is null")
            return None
        items = parent_data["data"]["items"]

        args = (self.batch_id,url,demjson.encode(headers),json_data)
        data_id = dbutil.exeSqlWithArgs(self.insertSpiderLog, args, self.db_con)
        logger.info("======>insert into spider log data_id:{}, data:{}",data_id,demjson.encode(args))
        return items


    def saveSearchDatas(self, json_data):
        '''
        保存具体的数据，即小红书的note
        :param json_data:
        :return:
        '''
        if not json_data:
            return None
        # parent_data = demjson.decode(json_data, 'utf_8')
        # if not parent_data["data"] or not parent_data["data"]["items"]:
        #     logger.warn("======>the data is null")
        #     return None
        # items = parent_data["data"]["items"]
        result = []
        new_result = []
        data_ids=[]
        new_ids =[]
        for item in json_data:
            if "note" != item["model_type"]:
                continue
            note = item["note"]
            desc = note["desc"]
            id =note["id"]
            if id:
                data_ids.append(id)
            title = note["title"]
            image = None
            if note["images_list"]:
                image = note["images_list"][0]["url"]
            item_type = note["type"]
            user = note["user"]["userid"]
            timestamp = note["timestamp"]

            # tagstr的格式为dict
            tagsDict = note["tag_info"]
            tags = demjson.encode(tagsDict) if tagsDict else None

            result.append((self.batch_id,id,title,desc,image,item_type,user,tags,timestamp))

        if data_ids.__len__()>0:
            #过滤库中已经有的老数据后，返回需要插入的数据
            new_ids = self.filterOldData(data_ids)
            if new_ids and new_ids.__len__()>0:
                # TODO result删除老数据
                new_result=[i for i in result if i[1] in new_ids]


        if not new_result or new_result.__len__()<=0:
            return
        data_nums = dbutil.exemanySql(new_result, self.insertNoteSql, self.db_con)
        # DBUtil.exeSqlWithArgs(self.insertNoteSql,result[0],self.db_con)
        logger.info("======>insert spider_data counts:{}, datas:{}",data_nums,demjson.encode(new_result))
        return data_nums

    def saveBrowserLog(self,url,headers,json_data):
        '''
              保存访问记录
              :param url:
              :param headers:
              :param json_data:
              :return:
              '''
        if not json_data:
            return None
        #去除文字中的回车换行符
        new_data = json_data.replace('\n', '').replace('\r', '')
        parent_data = demjson.decode(new_data, 'utf_8')
        if not parent_data["data"]:
            logger.warn("======>the data is null")
            return None
        items = parent_data["data"]
        args = (self.batch_id, url, demjson.encode(headers), json_data)
        data_id = dbutil.exeSqlWithArgs(self.insertSpiderLog, args, self.db_con)
        logger.info("======>insert into spider log data_id:{}, data:{}", data_id, demjson.encode(args))
        return items

    def saveBrowserDatas(self, json_data):
        '''
        保存具体的数据，即小红书的note
        :param json_data:
        :return:
        '''
        if not json_data:
            return None
        result = []
        new_result = []
        data_ids=[]
        new_ids =[]
        for item in json_data:
            if "note" != item["model_type"]:
                continue
            desc = item["desc"]
            id =item["id"]
            if id:
                data_ids.append(id)
            title = item["title"]
            image = None
            if item["images_list"]:
                image = item["images_list"][0]["url"]
            item_type = item["type"]
            user = item["user"]["userid"]
            timestamp = item["timestamp"]

            # tagstr的格式为dict
            tags = None

            result.append((self.batch_id,id,title,desc,image,item_type,user,tags,timestamp))

        if data_ids.__len__()>0:
            #过滤库中已经有的老数据后，返回需要插入的数据
            new_ids = self.filterOldData(data_ids)
            if new_ids and new_ids.__len__()>0:
                # TODO result删除老数据
                new_result=[i for i in result if i[1] in new_ids]


        if not new_result or new_result.__len__()<=0:
            return
        data_nums = dbutil.exemanySql(new_result, self.insertNoteSql, self.db_con)
        # DBUtil.exeSqlWithArgs(self.insertNoteSql,result[0],self.db_con)
        logger.info("======>insert spider_data counts:{}, datas:{}",data_nums,demjson.encode(new_result))
        return data_nums


    def filterOldData(self, ids):
        '''
        过滤掉DB中已有的老数据
        :param ids:
        :return:
        '''
        if not ids:
            return None

        datas = ()
        new_ids = ids
        idsstr = "','".join(ids)
        old_data_sql = self.query_old_data_sql.format(idsstr)
        datas = dbutil.exeSelectSqlWithSchema(old_data_sql, self.db_con)
        if datas:
            old_ids=[]
            for data in datas:
                old_ids.append(data['note_id'])

            #列表生成器
            new_ids= [id for id in ids if id not in old_ids]
        logger.info('======>get data ids:{},new:{}',ids, new_ids)
        return new_ids



addons = [
    MyAddOn()
]

if __name__ == '__main__':
    # import sys
    # from mitmproxy.tools.main import mitmdump

    searchJsonData= '''
    {
    "code": 0,
    "success": true,
    "data": {
        "items": [
            {
                "model_type": "recommend_query",
                "recommend_query": {
                    "title": "",
                    "source": 1,
                    "queries": [
                        {
                            "id": "夏日穿搭高级",
                            "name": "夏日穿搭高级",
                            "search_word": "夏日穿搭高级"
                        },
                        {
                            "id": "高级感穿搭",
                            "name": "高级感穿搭",
                            "search_word": "高级感穿搭"
                        },
                        {
                            "id": "干净穿搭夏天",
                            "name": "干净穿搭夏天",
                            "search_word": "干净穿搭夏天"
                        },
                        {
                            "id": "夏日穿搭高级小众",
                            "name": "夏日穿搭高级小众",
                            "search_word": "夏日穿搭高级小众"
                        }
                    ],
                    "word_request_id": "1433bb582548399d7945c7a28092b233"
                }
            },
            {
                "model_type": "note",
                "note": {
                    "liked": false,
                    "id": "60b9bfb50000000006027d1e",
                    "title": "轻熟男的一天｜职场男生上班💼穿搭OOTD",
                    "desc": "Halo，我是专注男生穿搭好物的奶贰🙋🏻‍♂️. . 下午公司楼下的阳光好好☀️，来两张分享下今天的职场通勤穿搭",
                    "liked_count": 1571,
                    "type": "normal",
                    "user": {
                        "nickname": "奶贰的日常",
                        "images": "https://sns-avatar-qc.xhscdn.com/avatar/60c57717ffa881abbd07fe6d.jpg?imageView2/2/w/80/format/jpg",
                        "red_official_verify_type": 0,
                        "userid": "5def00ea0000000001000609"
                    },
                    "tag_info": {},
                    "images_list": [
                        {
                            "fileid": "38df7c05-8647-32cd-a196-4692ec48600d",
                            "height": 1706,
                            "width": 1279,
                            "url": "http://sns-img-hw.xhscdn.com/38df7c05-8647-32cd-a196-4692ec48600d?imageView2/2/w/540/format/webp",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/38df7c05-8647-32cd-a196-4692ec48600d?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "38df7c05-8647-32cd-a196-4692ec48600d"
                        },
                        {
                            "fileid": "56864ec6-e172-32d1-8929-1ec3842c6007",
                            "height": 1706,
                            "width": 1279,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/56864ec6-e172-32d1-8929-1ec3842c6007?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "56864ec6-e172-32d1-8929-1ec3842c6007"
                        },
                        {
                            "fileid": "c64033ce-a223-360a-b02f-1f4078dee7e7",
                            "height": 1706,
                            "width": 1280,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/c64033ce-a223-360a-b02f-1f4078dee7e7?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "c64033ce-a223-360a-b02f-1f4078dee7e7"
                        },
                        {
                            "fileid": "88ba6b08-350b-3ae8-aae6-9eeaba4e7e90",
                            "height": 1706,
                            "width": 1279,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/88ba6b08-350b-3ae8-aae6-9eeaba4e7e90?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "88ba6b08-350b-3ae8-aae6-9eeaba4e7e90"
                        },
                        {
                            "fileid": "ef4a3fd9-ddf6-3cf9-8c11-bbbd3a8b0152",
                            "height": 1706,
                            "width": 1279,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/ef4a3fd9-ddf6-3cf9-8c11-bbbd3a8b0152?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "ef4a3fd9-ddf6-3cf9-8c11-bbbd3a8b0152"
                        },
                        {
                            "fileid": "d791a889-efa5-369f-86ad-02cf5fe6b703",
                            "height": 1706,
                            "width": 1280,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/d791a889-efa5-369f-86ad-02cf5fe6b703?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "d791a889-efa5-369f-86ad-02cf5fe6b703"
                        },
                        {
                            "fileid": "22701c2f-5041-3f7d-8605-8989d7d5b6aa",
                            "height": 1706,
                            "width": 1279,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/22701c2f-5041-3f7d-8605-8989d7d5b6aa?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "22701c2f-5041-3f7d-8605-8989d7d5b6aa"
                        },
                        {
                            "fileid": "de575df2-1bb7-3e07-b3aa-cc282086ea44",
                            "height": 1706,
                            "width": 1280,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/de575df2-1bb7-3e07-b3aa-cc282086ea44?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "de575df2-1bb7-3e07-b3aa-cc282086ea44"
                        },
                        {
                            "fileid": "00e3d9ae-8063-356e-a7e7-0fb77ee9ae9d",
                            "height": 1706,
                            "width": 1279,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/00e3d9ae-8063-356e-a7e7-0fb77ee9ae9d?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "00e3d9ae-8063-356e-a7e7-0fb77ee9ae9d"
                        }
                    ],
                    "has_music": false,
                    "timestamp": 1622785973
                }
            },
            {
                "model_type": "note",
                "note": {
                    "liked": false,
                    "id": "60db01a600000000210371a5",
                    "title": "成熟男士穿搭 | 办公室里的气质打工人！",
                    "desc": "嘿，我是松松~🐿️   今天给大家分享我的夏季穿搭，希望能够帮助到各位职场打工人~ - 夏日成熟男士的衣柜里应该不会缺少的就",
                    "liked_count": 286,
                    "type": "normal",
                    "user": {
                        "nickname": "NELSON松松",
                        "images": "https://sns-avatar-qc.xhscdn.com/avatar/5efc2359bf85c900013e8ec6.jpg?imageView2/2/w/80/format/jpg",
                        "red_official_verify_type": 0,
                        "userid": "5eb222ea0000000001007146"
                    },
                    "tag_info": {},
                    "images_list": [
                        {
                            "fileid": "0552d375-6afe-360b-95af-66f621a9c94f",
                            "height": 1699,
                            "width": 1280,
                            "url": "http://sns-img-hw.xhscdn.com/0552d375-6afe-360b-95af-66f621a9c94f?imageView2/2/w/540/format/webp",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/0552d375-6afe-360b-95af-66f621a9c94f?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "0552d375-6afe-360b-95af-66f621a9c94f"
                        },
                        {
                            "fileid": "d8e7ba88-b9da-3567-9523-464e07783192",
                            "height": 1699,
                            "width": 1280,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/d8e7ba88-b9da-3567-9523-464e07783192?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "d8e7ba88-b9da-3567-9523-464e07783192"
                        },
                        {
                            "fileid": "07ddd5cc-acca-3329-b632-8e20d1301c08",
                            "height": 1699,
                            "width": 1280,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/07ddd5cc-acca-3329-b632-8e20d1301c08?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "07ddd5cc-acca-3329-b632-8e20d1301c08"
                        },
                        {
                            "fileid": "eb1f18a0-0131-3e7c-966e-06e7dd69c903",
                            "height": 1699,
                            "width": 1280,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/eb1f18a0-0131-3e7c-966e-06e7dd69c903?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "eb1f18a0-0131-3e7c-966e-06e7dd69c903"
                        },
                        {
                            "fileid": "c6db66e5-7cfc-3dc0-96d7-6af1bfe4d75b",
                            "height": 1706,
                            "width": 1279,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/c6db66e5-7cfc-3dc0-96d7-6af1bfe4d75b?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "c6db66e5-7cfc-3dc0-96d7-6af1bfe4d75b"
                        },
                        {
                            "fileid": "a8e9e045-b6f5-3e31-b75c-f70c9156f9e8",
                            "height": 1699,
                            "width": 1280,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/a8e9e045-b6f5-3e31-b75c-f70c9156f9e8?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "a8e9e045-b6f5-3e31-b75c-f70c9156f9e8"
                        },
                        {
                            "fileid": "e726431a-cb59-33d0-a945-1d050982269a",
                            "height": 1699,
                            "width": 1280,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/e726431a-cb59-33d0-a945-1d050982269a?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "e726431a-cb59-33d0-a945-1d050982269a"
                        },
                        {
                            "fileid": "27cd3b47-8235-3d7e-bca1-d88ca67db6ab",
                            "height": 1699,
                            "width": 1280,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/27cd3b47-8235-3d7e-bca1-d88ca67db6ab?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "27cd3b47-8235-3d7e-bca1-d88ca67db6ab"
                        },
                        {
                            "fileid": "5f09a6da-e229-35f6-bfa4-9bb80a04abd1",
                            "height": 1699,
                            "width": 1280,
                            "url": "",
                            "url_size_large": "http://sns-img-hw.xhscdn.com/5f09a6da-e229-35f6-bfa4-9bb80a04abd1?imageView2/2/w/1080/format/webp",
                            "original": "",
                            "trace_id": "5f09a6da-e229-35f6-bfa4-9bb80a04abd1"
                        }
                    ],
                    "has_music": false,
                    "timestamp": 1624965542
                }
            },
            {
                "model_type": "note",
                "note": {
                    "liked": false,
                    "id": "606a72410000000001026f90",
                    "title": "OOTD | 工作日穿搭",
                    "desc": "对我来说，上班族的标准两件套即为衬衫和Polo. 👔 工作 时间尊重上班族的dress code我觉得会更有效率感。夏天悄",
                    "liked_count": 968,
                    "type": "normal",
                    "user": {
                        "nickname": "叶韦信",
                        "images": "https://sns-avatar-qc.xhscdn.com/avatar/600d1a7987181076fc07251a.jpg?imageView2/2/w/80/format/jpg",
                        "red_official_verify_type": 0,
                        "userid": "5aefdf10e8ac2b63b3ef14b5"
                    },
                    "tag_info": {},
                    "images_list": [
                        {
                            "fileid": "63572044-6759-3b3a-8535-0f242894a9f7",
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